Why Human Verification Isn’t Scalable
Before-and-after photos require manual review. Managers can’t always tell if filters are new or just lightly used, especially under poor lighting or from awkward angles. This creates inconsistency, subjectivity, and stress.
A dirty filter can significantly reduce HVAC efficiency, increasing energy use up to 15%. [Source: Energy.gov - Maintaining Your Air Conditioner]
How FilterSync Uses AI and Computer Vision
Tenant photos are captured in real time (camera only, no gallery uploads). FilterSync scans each image to verify:
- Visible dust or grime
- Match with registered HVAC slot shape
- Metadata (time, geolocation, and device ID)
Every photo is analyzed within seconds, with a pass/fail score. (Learn More: How It Works)
Our Current Accuracy: 90% and Improving
Right now, FilterSync’s AI correctly classifies submissions at just over 90% of the time. The 10% inaccuracy typically comes from filters that are not brand-new but still in very good condition, lightly used but not visibly dirty. Therefore, the unit remains protected.
These “edge cases” are logged and manually reviewed. We feed them back into the system daily to retrain the model and improve accuracy.
AI systems learn through supervised learning and improve with more annotated data. Models like ours can exceed 95% accuracy in well-defined domains. [Source: IBM – What is Supervised Learning?]
Our Goal: 100% Confidence, Human-Level Accuracy
We’re feeding thousands of real-world examples into the model, with different lighting, filter brands, usage types, and camera angles.
Computer vision has already surpassed human accuracy in image classification. [Source: MIT Technology Review]
FilterSync is trained to outperform subjective judgment and remove bias from the process entirely.
Transparency Builds Trust
We track every submission, pass/fail score, and escalation in your property dashboard.
If a submission fails, tenants can retry or request and the manager can choose to do a manual review before dispatching a technician at the tenants expense. [See FAQ](#) for how tenant experience is handled.
You have the ability to see exactly what happened, when, and why, every time.
Want to See the AI in Action?
We’re inviting a small group of managers to help us improve the system while benefiting from hands-off tenant compliance.
Upload real filter images from your properties. Help us train the model while enjoying automated compliance now.